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Information × Registration Number 2124U004702, Article popup.category Препринт Title popup.author Rodzin Taras popup.publication 01-01-2024 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4830 popup.publisher Description Digital marketing has demonstrated a significant growth in popularity during the last decade due to the huge variety of possibilities and flexibility the online ad- vertisement platforms offer. However, profitability and competitiveness in such an environment require efficient resource management and adaptation to the fast- changing customer behavior and interests. Effective advertisement allocation and optimal spending control form the primary problem this work seeks to resolve. The thesis considers the aforementioned setup as one that can be solved as the Multi- Armed Bandit problem using the Thompson Sampling algorithm. The work utilizes the modified principles of the aforementioned approaches to construct the adver- tisement filtering algorithm and evaluate its performance on real-life data. popup.nrat_date 2025-05-09 Close